Data Analysis

Abstract

Ok, so you have finished collecting your data; now it is time to find out exactly what your data shows. You finally have the opportunity to answer that research question you posed all those weeks, months or even years ago! We do this using data analysis.

Regardless of whether it is a preliminary pilot study or a fully completed research project, it is important you approach the analysis of your data in the same way. Do not waste your time using unsuitable and invalid analysis methods, you will only end up having to redo the analysis, or worse still, you will produce false results and make misinterpretations. Imagine claiming to have made a significant contribution to your field, just to have your results invalidated by your peers based on a poorly chosen analysis method.

You should look upon analysis of your data as an intriguing prospect, you are about to unlock the true meaning of your results, and who knows, you may reveal some unexpected treasures along the way. That novel finding could be just around the corner! Before you know it you could be contributing truly new information to the scientific literature. In this chapter we will discuss the importance of appropriate tools in data analysis, provide basic advice, using specific examples, on where to start, and finally you will receive insight into how to interpret the results of your data analysis.